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# Senior AI Engineer / Technical Lead (Agentic AI & MCP)

- **Company:** Intellias
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Business Software, Continuous Integration, JSON, OAuth, Azure Active Directory, SQL Databases, Systems Integration, Microsoft Power Automate, Multi-Agent Systems, Generative AI, Agentic-AI, Git, Invoking Functions, Restful APIs, Model Context Protocol, Semantic Kernel, Api Management, Serverless Computing
- **Published:** October 18, 2026
- **Apply:** https://www.jobleads.com/es/job/senior-ai-engineer-technical-lead-agentic-ai-mcp--spain--e0b9cd9490252950035e00a759b988815

## About the Role

* Experience building LLM-based applications, AI agents or agentic workflows.
 * Strong knowledge of REST APIs and enterprise integrations.
 * Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID.
 * Understanding of tool/function calling and agent-to-system integration patterns.
 * SQL, JSON, Git and CI/CD.
 * Ability to design production-grade solutions and provide technical leadership.

Strong advantage

 * Power Automate.
 * Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar.
 * Azure Functions / API Management / Logic Apps.
 * Experience with enterprise AI governance, evaluation and observability.

## Description

We are looking for a hands-on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations.

The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team.

The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation.

Required skills

 * Experience building LLM-based applications, AI agents or agentic workflows.
 * Strong knowledge of REST APIs and enterprise integrations.
 * Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID.
 * Understanding of tool/function calling and agent-to-system integration patterns.
 * SQL, JSON, Git and CI/CD.
 * Ability to design production-grade solutions and provide technical leadership.

Strong advantage

 * Power Automate.
 * Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar.
 * Azure Functions / API Management / Logic Apps.
 * Experience with enterprise AI governance, evaluation and observability.

Responsibilities:

 * Lead technical discovery and translate business use cases into AI/agentic solution designs.
 * Design the architecture of AI agents and their interaction with local and global MCP services.
 * Design and develop MCP services exposing capabilities of local applications to AI agents.
 * Build enterprise AI agents and agentic workflows.
 * Integrate agents with multiple MCP servers, APIs and enterprise systems.
 * Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails.
 * Define reusable patterns and engineering standards for MCP and agent development.
 * Lead and support other AI engineers during implementation.
 * Ensure compliance with enterprise security, architecture and AI governance requirements.
 * Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost.
 * Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities.